Instructions to use immanuelpeter/MiniMax-M3.1-Flash-Vision with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use immanuelpeter/MiniMax-M3.1-Flash-Vision with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="immanuelpeter/MiniMax-M3.1-Flash-Vision")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("immanuelpeter/MiniMax-M3.1-Flash-Vision") model = AutoModel.from_pretrained("immanuelpeter/MiniMax-M3.1-Flash-Vision", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
Today
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Restore the approved card
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Synchronize maintained vision bundle layout and manifest
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Synchronize maintained vision bundle layout and manifest
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Slim the card to the previous releases' form
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Keep the house card complete and runnable
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Drop the bench-evidence sentence from the card
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Rewrite the card in the house template
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Yesterday
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Standardize card and manifest; make three-stage BF16 example snapshot-local
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Document image-independent native inference and multi-image validation
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Extract pinned MiniMax M3.1 Flash Tower and Projector with exact source tensors
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initial commit
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